ES Engage - 2026 Pricing, Features, Reviews & Alternatives

ES Engage is a module within the Exchange Solutions loyalty platform that specializes in converting anonymous eCommerce visitors into identified customers through real-time personalized offers. It applies machine learning to browsing behavior and purchase intent signals to deliver contextual incentives tailored to individual visitor profiles. The product supports multiple engagement models, including points-based rewards, tiered incentives and gamified interactions, without requiring a full replacement of existing loyalty infrastructure. A self-service interface enables campaign managers to define engagement strategies, configure incentive rules and monitor deliverability across digital channels.

The module incorporates an AI-driven Audience Recommender that automatically uncovers high-value visitor segments by analyzing transaction history, engagement metrics and behavioral indicators. A Promotion Builder facilitates the creation and deployment of personalized campaigns in real time, with built-in profitability constraints to ensure offers align with margin objectives. Event-driven webhooks and RESTful APIs enable seamless connectivity with eCommerce platforms, marketing automation tools and customer data systems, allowing bidirectional synchronization of visitor attributes, session data and campaign performance metrics.

ES Engage is built on a cloud-native, API-first architecture aligned with MACH Alliance principles. This design supports both real-time and batch data processing to accommodate diverse integration scenarios and high-volume traffic. The module scales horizontally to maintain consistent performance during peak periods and ensures global availability through distributed infrastructure. Configurable dashboards provide immediate visibility into engagement metrics, conversion rates, incentive utilization and financial impact measurements.

Security and compliance are enforced through Payment Card Industry Data Security Standard certification and SOC two attestation. Data protection measures include encryption at rest and in transit, role-based access controls and detailed audit logging. Predictive analytics extend the module’s capabilities by forecasting visitor churn risk, estimating lifetime value and recommending next-best-action strategies that isolate the incremental effect of targeted offers on overall revenue.